activity
20182024
most citedCross-Centroid Ripple Pattern for Facial Expression Recognition

5 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

nucl-th2024

A global study of -clusters decay in heavy and superheavy nuclei with half-life and preformation factor

G. Saxena, P. K. Sharma, Prafulla Saxena

A detailed study of -clusters decay is exhibited by incorporating crucial microscopic nuclear structure information into the estimations of half-life and preformation factor. Fo…

cs.CV2022★ 5 cited

Cross-Centroid Ripple Pattern for Facial Expression Recognition

Monu Verma, Prafulla Saxena, Santosh Kumar Vipparthi +1

In this paper, we propose a new feature descriptor Cross-Centroid Ripple Pattern (CRIP) for facial expression recognition. CRIP encodes the transitional pattern of a facial express…

nucl-th2020

Modified empirical formulas and machine learning for -decay systematics

G. Saxena, P. K. Sharma, Prafulla Saxena

Latest experimental and evaluated -decay half-lives between 82Z118 have been used to modify two empirical formulas: (i) Horoi scaling law [J. Phys. G \textbf{30}, 94…

cs.CV2018

QUEST: Quadriletral Senary bit Pattern for Facial Expression Recognition

Monu Verma, Prafulla Saxena, Santosh. K. Vipparthi +1

Facial expression has a significant role in analyzing human cognitive state. Deriving an accurate facial appearance representation is a critical task for an automatic facial expres…

cs.CV2018

CANDID: Robust Change Dynamics and Deterministic Update Policy for Dynamic Background Subtraction

Murari Mandal, Prafulla Saxena, Santosh Kumar Vipparthi +1

Background subtraction in video provides the preliminary information which is essential for many computer vision applications. In this paper, we propose a sequence of approaches na…